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PILoRA: Prototype Guided Incremental LoRA for Federated
  Class-Incremental Learning

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning

4 January 2024
Haiyang Guo
Fei Zhu
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
    CLL
ArXivPDFHTML

Papers citing "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"

11 / 11 papers shown
Title
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
31
0
0
04 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
27
2
0
23 Oct 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
22
2
0
27 Mar 2024
Open-world Machine Learning: A Review and New Outlooks
Open-world Machine Learning: A Review and New Outlooks
Fei Zhu
Shijie Ma
Zhen Cheng
Xu-Yao Zhang
Zhao-kui Zhang
Cheng-Lin Liu
23
20
0
04 Mar 2024
Task Arithmetic with LoRA for Continual Learning
Task Arithmetic with LoRA for Continual Learning
Rajas Chitale
Ankit Vaidya
Aditya Kane
Archana Ghotkar
23
13
0
04 Nov 2023
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
110
85
0
22 Oct 2023
ViTKD: Practical Guidelines for ViT feature knowledge distillation
ViTKD: Practical Guidelines for ViT feature knowledge distillation
Zhendong Yang
Zhe Li
Ailing Zeng
Zexian Li
Chun Yuan
Yu Li
76
42
0
06 Sep 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
135
287
0
01 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
82
936
0
03 Feb 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
164
1,690
0
18 Mar 2020
1